EcoCyc E. coli Database

EcoCyc is a scientific database for the bacterium Escherichia coli K-12 MG1655. The EcoCyc project performs
literature-based curation of the entire genome, and of transcriptional regulation, transporters, and metabolic pathways.

From protecting E. coli against phage infection to the promise of gene therapy: How does Cascade do it? Recent crystal structures of the enzyme are improving our understanding of this enzyme.

More than just K-12 MG1655

More than 500 E. coli strain databases are available via the change organism database
link (upper right corner). They are less curated than EcoCyc but work with all
our website tools, from Omics Dashboard to metabolic route search.

Metabolic Model for E. coli K-12

A quantitative metabolic model for E. coli K-12 derived from EcoCyc is available.

Maintaining the Outer Membrane

The 5-subunit Bam complex is responsible for the assembly and insertion of beta-barrel proteins into the OM of E. coli. Although a full understanding of its function in beta-barrel folding remains elusive, recent work has yielded many insights into subunit interaction and activity.

SmartTable display generated by Pathway Tools.

Metabolomics Data Analysis

Multiple tools are available in this website for metabolomics data analysis.

EcoCyc App is now BioCyc App

Have you ever wanted to quickly find out what is known about a gene, protein or pathway that was just mentioned in a talk or on a poster? Download the free BioCyc iPhone app to browse EcoCyc on the go! The NEW BioCyc app comes preloaded w/ EcoCyc.

How to Cite EcoCyc

Funding Sources

The development of EcoCyc is funded by NIH grant GM077678 from the NIH National Institute of General Medical Sciences.

Video Tutorials

The BioCyc webinar series introduces users to the basic and advanced features of the BioCyc website and the Pathway Tools software. A complete list of videos in additional download formats are available on the Video and Podcast page.

This video introduces the BioCyc.org site and the BioCyc collection of hundreds of Pathway/Genome Databases and covers: